Responsible and Ethical AI

In this course, we will investigate the ethical challenges in Artificial Intelligence (AI) systems. The focus of this course is on preparing students with the knowledge and practical approaches necessary in designing reliable and ethical AI systems that are responsible and trustworthy. Key topics covered include: • Bias and Fairness in AI and Machine Learning • Nature of data privacy and AI Risks • Understanding AI regulations. • Frameworks for building truly trustworthy and responsible AI. There are 2 hands-on labs in this course. You need knowledge of python and basics of AI model development

• Understand bias and fairness challenges in AI
• Analyze data privacy and AI risks
• Recognize AI-related regulations and compliance
• Apply frameworks for trustworthy and responsible AI
• Perform practical labs on responsible AI development

• Basic familiarity with AI concepts
• Knowledge of Python and model development basics
• Readiness to engage in applied exercises